Agentic AI Engineering with Azure AI Foundry SDK: From Model Catalogs to Production-Ready Chatbots and Automation: 1 (AI, Autonomous Agents and Enterprise Intelligence)

Tyrell T. Greer

ISBN 13: 9798263525286

Published by Independently published, 2025

About this Item

Seller Inventory # LU-9798263525286

Bibliographic Details

• Title: Agentic AI Engineering with Azure AI Foundry SDK: From Model Catalogs to Production-Ready Chatbots and Automation: 1 (AI, Autonomous Agents and Enterprise Intelligence)
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798263525286
• Binding: Paperback
• Condition: New
• Dimensions: 17.78W x 0.89H x 25.4D centimeters 17.78 centimeters width by 0.89 centimeters height by 25.4 centimeters depth
• Weight: 277 grams

About this title

Synopsis

Agentic AI Engineering with Azure AI Foundry SDK: From Model Catalogs to Production-Ready Chatbots and Automation

What does it take to deliver intelligent agents and automation that perform at scale—without months of trial and error or piles of brittle prototypes? In a landscape where every business is racing to deploy smarter solutions, the challenge isn’t building demos; it’s shipping robust, adaptable AI systems that thrive in real-world conditions.

This book is your definitive field guide to building, deploying, and managing agentic AI with the Azure AI Foundry SDK. Designed for developers, architects, and technology leaders determined to move beyond theory, it offers practical strategies for leveraging Microsoft’s unified SDK to streamline the path from initial setup to enterprise-scale deployments.

Inside, you’ll learn how to:

• Quickly configure your Azure environment, navigate authentication, and validate your first API call for immediate momentum.

• Harness the unified model catalog to select, compare, and swap leading AI models—including OpenAI, DeepSeek, Mistral, and Meta—without vendor lock-in or disruptive code rewrites.

• Build intelligent agents capable of orchestrating conversations, invoking external tools, and integrating with business workflows—all with working examples in Python, C#, and TypeScript.

• Incorporate Retrieval-Augmented Generation (RAG) using Azure’s vector search to ground chatbot responses in your own data, delivering accuracy and trust for users.

• Automate, observe, and govern every layer of your AI stack, from production monitoring and safety checks to secure, compliant enterprise deployment patterns.

• Troubleshoot, optimize, and scale your solutions with proven best practices, clear debugging workflows, and developer-tested checklists.

Every section is engineered for action: start with a specific outcome, walk through the essential setup, experiment with hands-on code, and discover practical recommendations for scaling, security, and reliability. The book steers clear of lengthy theory and empty promises, instead equipping you with repeatable solutions, hard-won insights, and field-tested strategies that work under pressure.

Ready to build agents that don’t just work in the lab, but deliver value in production—day after day? Get your copy and turn the Azure AI Foundry SDK into your team’s secret weapon for next-generation chatbots, automation, and enterprise AI.